Triple-negative breast cancer (TNBC) is the most challenging breast cancer subtype. Molecular stratification and target therapy bring clinical benefit for TNBC patients, but it is difficult to implement comprehensive molecular testing in clinical practice. Here, using our multi-omics TNBC cohort ( = 425), a deep learning-based framework was devised and validated for comprehensive predictions of molecular features, subtypes and prognosis from pathological whole slide images.
View Article and Find Full Text PDFZhonghua Liu Xing Bing Xue Za Zhi
November 2006
Objective: To evaluate quality of surveillance and emendate rates of birth and death of population of the Three Gorges area.
Methods: Data on the two samples collected were designed based on principle of capture-recapture method. An investigation of missing report of birth and death was conducted in 7061 families selected through stratified random sampling method.